AI and Big Data in Global Health Improvement

In an era where big data and artificial intelligence play an important role in healthcare, data sharing has huge potential for global health improvement and patient safety. On this four-week course, AI and Big Data in Global Health Improvement, you’ll explore the benefits and challenges of sharing healthcare data globally.

With support from industry experts, you’ll consider topics like the future of medical development, improving care, healthcare accessibility, and more.

Course highlights

This course is focused on studies of future global healthcare developments. These topics will be discussed:

• How can massive data sharing in healthcare benefit medical development, such as in a pandemic like COVID-19?
• How can massive data improve patient safety?
• How can massive data improve healthcare quality, and achieve precision medicine?
• How can massive data help to achieve standardising global care? For Governments, funding bodies, institutions, and publishers, when given patients data, how do they develop strategies?

Key learning objectives

By the end of the course, you‘ll be able to...

• Describe how big data can improve the quality of healthcare in global pandemics.
• Explore how big data and artificial intelligence can play a vital role in global health improvement and study trials.
• Apply using big data and artificial intelligence to build new globally standardized methodologies to improve healthcare.
• Improve healthcare quality and patient safety using massive observational health data and artificial intelligence techniques.

Who should enrol?

This course is designed for anyone interested in big data and artificial intelligence applications in healthcare for global health improvement - student, researcher, or healthcare professional.